视频生产助手

SKILL前端设计
前端设计 未标注权限 许可证不明确
安装这个技能

面向中文短视频、课程视频和课件视频化的生产助手。支持文稿审读、思路发散、口播生成、分镜拆分、字幕切分、课件视频打包、FCPXML 工程、MP4 导出,以及 Remotion / Hyperframes / P5J 等程序化视频流程规划。

一句话选型结论

按资料字段整理

视频生产助手是前端设计类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类前端设计 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_74fae589/video-text-production
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

前端设计
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_74fae589仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791735782
正文体量13.5 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
出页面与组件

按描述生成页面结构和组件草稿。

调整样式与布局

改间距、配色与响应式布局。

生成设计说明

把设计稿整理成开发能接的说明。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在前端设计场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
视频生产助手当前 未标注权限 未标注 未标注 未标注 有
前端设计 只读 GitHub 仓库 882.3 万 Codex、Claude、Cursor 有
Vercel 组合模式 联网访问 GitHub 仓库 385.9 万 Codex、Claude、Cursor 有
Vercel React native skills 前端 只读 GitHub 仓库 246.9 万 Codex、Claude、Cursor 有
adapt 搜索 浏览器控制 GitHub 仓库 202.7 万 Codex、Claude、Cursor 有
使用我的浏览器 浏览器控制 GitHub 仓库 184.8 万 Codex、Claude、Cursor 有

SKILL.md 全文

13.5 KB
模型实际读到的说明书原文,来自技能仓库

Video Text Production

Use this skill to turn a topic, source material, PPT/PDF courseware, voiceover, or draft script into a stable video-production pipeline.

Keep the workflow deterministic where possible. Use prompts for creative steps such as narration, titles, semantic split, image prompts, and style rationale. Use fixed rules and scripts for file inventory, subtitle slicing, memory writing, and MP4 rendering.

Source And Dependency Transparency

This skill package contains instructions, references, and local helper scripts only. It does not bundle the user's raw PPT/PDF/audio/video/image files, API keys, model credentials, Remotion/Hyperframes projects, node modules, or external platform accounts.

When producing a video package or handoff plan, distinguish:

  • User-provided raw inputs: files, pasted text, scripts, audio, decks, images, videos, and existing project folders supplied in the current task.
  • Bundled skill resources: SKILL.md, references/, scripts/, and agents/openai.yaml.
  • Local tool dependencies: Python, Pillow, ffmpeg/ffprobe, office/PDF conversion tools, Final Cut Pro, or other tools available in the target environment.
  • External runtimes/APIs: OpenAI or other model APIs, TTS APIs, transcription APIs, Remotion/Pujer/P5J/Hyperframes platforms, and any user-connected services. Use them only when available in the user's environment and never imply credentials are bundled.

Read references/source-and-dependency-transparency.md when a task needs provenance notes, API/dependency disclosure, generation-report wording, or upload/package safety checks.

Animation Runtime And Component Notice

This skill does not bundle a complete Remotion project, Hyperframes project, Pujer/P5J/p5.js component library, motion component pack, or hosted rendering platform. When a user asks to make animations or identify where animation is needed, first check whether the target workspace or platform already has the required runtime, components, and render command.

If those dependencies are missing, be explicit: deliver an animation plan, component manifest, install/setup checklist, and integration notes, but do not claim the animation can be rendered or used directly. If the user provides an existing animation project, inspect it and work with its components instead of inventing unavailable ones.

Read references/animation-runtime-requirements.md for dependency checks, user-facing notices, and fallback output shapes.

Select Mode

Choose the smallest mode that satisfies the user:

  • Draft audit and idea divergence: When the user provides a draft, article rewrite, script, transcript, SRT, or rough idea and wants feedback, first split and audit the source, give audience-facing suggestions, then proceed to rewriting or production planning only after the direction is clear.
  • Text assets only: Produce narration, titles, cut_text, image prompts, or subtitle-ready text.
  • Courseware package: Convert PPT/PDF + voiceover + script into a reusable production package with FCPXML, SRT, plan, report, source archive, and publishable MP4.
  • Animation planning: When the user asks where to add animation or wants animated output, check whether Remotion/Hyperframes/Pujer/P5J/p5.js/motion components are available. If not, produce the animation blueprint and dependency checklist rather than promising a render.
  • Existing video assembly: Combine user-provided MP4/video files. Ask for order when filenames, timestamps, or user instructions do not make the sequence obvious.

Draft Audit And Idea Divergence Workflow

When the user uploads or pastes a draft and asks for rewriting, polishing, content ideas, script adaptation, or "what should we do next", do not rewrite immediately unless the user explicitly says to skip review.

Use this order:

  1. Read the source first. For local files, inspect the actual contents before judging.
  2. Split the source into logical blocks: hook/opening, setup, core claim, evidence/example, payoff, CTA, and redundant or empty lines.
  3. Judge content quality, hook strength, and audience benefit from the target viewer's point of view.
  4. Give concise suggestions before the next production step: keep/delete/move earlier/add one line.
  5. Offer 2-4 divergence directions only when useful, such as stronger hook angle, sharper audience pain, more commercial implication, more concrete example, or different video structure.
  6. Ask for direction when the next step depends on creative choice. If the user already gave a clear goal, continue into narration, cut_text, image prompts, subtitles, or package planning.

Read references/script-audience-divergence.md for the full audit format, scoring dimensions, hook rules, audience-perspective questions, and replacement-line guidance.

Courseware Package Workflow

When the user provides a PPT/PDF, audio file, spoken script, or asks for Final Cut Pro/MP4 output, follow this order:

  1. Inventory inputs before editing or rendering. Run scripts/inspect_inputs.py <task-folder-or-files...> when files are local.
  2. Classify each input as deck, rendered PDF, audio, script/transcript, video clip, image, or supporting source.
  3. If the user provides PPT/PPTX/Keynote, prefer an adjacent exported PDF when present; otherwise convert the deck to PDF before slide rendering. If conversion fails, preserve the deck and report the blocker.
  4. If the user provides MP4/video clips without a deck, ask how to order clips unless the user gives an explicit order or filenames clearly encode order.
  5. Render deck/PDF pages to slide images, then create timeline_plan.json from slide count, audio duration, and script/subtitle segments.
  6. Generate subtitles_short.srt with the deterministic subtitle rules below.
  7. Analyze slide/frame visuals for subtitle placement and styling. Run scripts/analyze_subtitle_style.py --slides <slides-dir> --out subtitle_style.json when slide images are available.
  8. Build the editable package first: timeline.fcpxml, subtitles_short.srt, timeline_plan.json, generation_report.md, README.txt, media/slides, media/voice, and source.
  9. Build the publishable MP4 with ffmpeg. Prefer scripts/build_publish_mp4.py when slide images, audio, SRT, and style JSON are available.
  10. Append a reusable production memory with scripts/record_production_memory.py after a successful or meaningfully partial run, and tell the user the memory was generated.

Read references/courseware-video-packaging.md for the full package contract, MP4 rendering rules, subtitle style heuristics, and memory schema.

Text Asset Workflow

For text-only requests, follow this order unless the user explicitly asks for only one step:

  1. Generate the narration script.
  2. Extract the large title and small title from the final narration.
  3. Split the narration into semantic cut_text units for shots.
  4. Generate one image prompt per cut_text.
  5. Split narration or cut_text into subtitle-sized caption units with deterministic rules.

If the user already provides a final narration, skip narration generation and start from titles or splitting.

Inputs

Collect only the minimum needed:

  • Topic or business question
  • Optional source material, transcript, notes, or article
  • Optional rough draft, SRT, article-to-script rewrite, voice-over script, or video script for audit before rewriting
  • Optional PPT/PPTX/Keynote/PDF courseware
  • Optional audio voiceover
  • Optional MP4/video clips
  • Optional animation runtime, Remotion/Hyperframes project, Pujer/P5J/p5.js component library, motion components, or platform-specific animation package
  • Intended audience
  • Tone or creator persona
  • Optional target duration

If inputs are weak, still produce a strong first draft instead of blocking.

Prompt Resources

Read references/prompt-templates.md when you need the exact reusable prompt bodies for:

  • Draft audit and idea divergence follow-up rewrites
  • Narration generation
  • Large and small title generation
  • Semantic shot splitting into cut_text
  • Image prompt generation from cut_text

Reuse those prompts with light adaptation. Preserve the user’s original creator voice if one is already established.

Subtitle Rules

Do not treat subtitle slicing as a creative prompt unless the user explicitly asks for stylistic rewriting.

Use deterministic rules:

  • Keep original wording and order.
  • Split by semantic pauses first, then punctuation, then length.
  • Keep each subtitle short enough for mobile reading.
  • Avoid breaking a phrase in the middle when a natural pause exists.
  • Keep each subtitle unit readable in one glance.
  • Ensure subtitle order matches narration exactly.

When timing is not provided, output plain ordered subtitle units. When timing is provided or estimated, preserve alignment with the source narration segment.

Subtitle Style Matching

For MP4 exports, choose subtitle styling from the actual slides or sampled frames:

  • Inspect the first, middle, and last pages, plus any dense pages.
  • Prefer bottom-center subtitles when the lower third is visually quiet.
  • Move subtitles to top-center when the bottom third contains key charts, UI, or logos.
  • Use white text with dark stroke/shadow on dark or mixed slides; use near-black text with translucent light backing on light slides.
  • Keep subtitles inside title/action safe areas and avoid covering faces, charts, tables, logos, and primary callouts.
  • For 16:9 output, start near 48-64 px text at 1920x1080; for 9:16 output, start near 54-72 px text at 1080x1920. Adjust down for long Chinese lines.
  • Save decisions in subtitle_style.json and cite the visual basis in generation_report.md.

Output Shape

Prefer explicit structured output when handling multiple steps:

{
  "narration": "full narration",
  "title_large": "large title",
  "title_small": "small title",
  "cut_text": ["shot text 1", "shot text 2"],
  "cut_text_image": ["image prompt 1", "image prompt 2"],
  "captions": ["caption 1", "caption 2"]
}

For courseware packaging, prefer this directory shape:

output/
├── publish.mp4
├── timeline.fcpxml
├── subtitles_short.srt
├── subtitle_style.json
├── timeline_plan.json
├── generation_report.md
├── README.txt
├── media/
│   ├── slides/
│   └── voice/
└── source/

If the user asks for only one artifact, output only that artifact.

Quality Bar

Check before returning:

  • Draft audit comes before rewriting when the user gave source text and did not explicitly ask to skip critique.
  • Audience benefit is concrete: decision shortcut, practical action, warning, talking point, emotional validation, or a clearer reason to watch.
  • The narration sounds like a creator with judgment, not an assistant.
  • Titles are derived from the narration rather than inventing unrelated concepts.
  • cut_text count follows the requested range if one is specified.
  • cut_text and cut_text_image counts match exactly.
  • Subtitle splitting is readable and does not distort meaning.
  • Animation output is labeled correctly: renderable only when the required runtime, components, assets, and render command are present and verified.
  • Source/dependency notes are explicit when external files, APIs, model services, TTS/transcription tools, Remotion/Hyperframes runtimes, or user-provided assets influence the output.
  • timeline.fcpxml remains editable in Final Cut Pro and does not replace the human review step.
  • publish.mp4 plays locally, has audible audio when audio was provided, and has readable subtitles.
  • generation_report.md records file inventory, conversion/rendering steps, subtitle count, MP4 path, memory status, and any blockers.
  • Production memory summarizes the reusable lesson without storing raw user files or long transcripts.

Boundaries

Do not:

  • Add meta commentary like “下面是” or “让我分析”.
  • Output Markdown headings inside the actual generated copy unless the user asks.
  • Invent concepts that are absent from the narration when generating titles.
  • Rewrite a user's draft immediately when the request calls for review, divergence, or audience judgment first.
  • Turn subtitle splitting into freeform rewriting.
  • Claim an animation, Remotion/Hyperframes render, Pujer/P5J component output, or motion package is usable unless the target components and runtime are present or bundled.
  • Embed Remotion/Hyperframes-only metadata directly into FCPXML or MP4 in a way that could break opening/import. Keep animation specs in sidecar manifests or separate project folders unless the target format explicitly supports them.
  • Claim an MP4, FCPXML, or memory was created unless the file write actually succeeded.
  • Auto-concatenate unrelated MP4 clips when the intended order is ambiguous.

常见问题

5 问
答案由本站依据条目字段整理
视频生产助手怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_74fae589/video-text-production。安装方式为未标注。装完刷新技能列表或重开客户端。

视频生产助手支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

视频生产助手权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

视频生产助手收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

视频生产助手用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。